Anastasiia Kornilova

Skolkovo Institute of Science and Technology, St Petersburg University

Papers

Total Citations

H-Index

About

Anastasiia Kornilova is a researcher whose work sits at the intersection of computer vision, robotics, and real-time sensor systems. Her primary research areas include visual place recognition for aerial imagery, multi-camera synchronization, and video stabilization for mobile robotics. Kornilova’s most cited work, the 2024 survey on visual place recognition for aerial imagery (10 citations), provides a comprehensive taxonomy of methods for autonomous aerial vehicle navigation. She also made notable contributions to real-time digital video stabilization using MEMS-sensors (4 citations), developing a method to improve the video feed quality for remote mobile robot operators. Her 2021 paper on sub-millisecond video synchronization of multiple Android smartphones (3 citations) introduced a publicly available application that enables affordable, easy-to-setup multi-view camera systems for high-dynamic environments. Additionally, her work on a multiagent system for robotic football (2 citations) resulted in a cross-platform framework for testing multi-agent control algorithms in centralized systems, directly supporting RoboCup SSL competitions. With a growing citation record and a focus on practical, open-source solutions, Kornilova’s research is shaping the future of autonomous navigation and multi-agent robotics.